Papers
LegendreTron: Uprising Proper Multiclass Loss Learning
Kevin H Lam, Christian Walder, Spiridon Penev et al.
Less is More: Task-aware Layer-wise Distillation for Language Model Compression
Chen Liang, Simiao Zuo, Qingru Zhang et al.
LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework
Woojun Kim, Jeonghye Kim, Youngchul Sung
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning
Timothy Castiglia, Yi Zhou, Shiqiang Wang et al.
Leveraging Demonstrations to Improve Online Learning: Quality Matters
Botao Hao, Rahul Jain, Tor Lattimore et al.
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks
Feng Ji, See Hian Lee, Hanyang Meng et al.
Leveraging Offline Data in Online Reinforcement Learning
Andrew Wagenmaker, Aldo Pacchiano
Leveraging Proxy of Training Data for Test-Time Adaptation
Juwon Kang, Nayeong Kim, Donghyeon Kwon et al.
LEVER: Learning to Verify Language-to-Code Generation with Execution
Ansong Ni, Srini Iyer, Dragomir Radev et al.
Lifelong Language Pretraining with Distribution-Specialized Experts
Wuyang Chen, Yanqi Zhou, Nan Du et al.
Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data
Yubo Zhuang, Xiaohui Chen, Yun Yang
Linear Causal Disentanglement via Interventions
Chandler Squires, Anna Seigal, Salil S Bhate et al.
Linear CNNs Discover the Statistical Structure of the Dataset Using Only the Most Dominant Frequencies
Hannah Pinson, Joeri Lenaerts, Vincent Ginis
Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach
Prashant Khanduri, Ioannis Tsaknakis, Yihua Zhang et al.
Linear optimal partial transport embedding
Yikun Bai, Ivan Vladimir Medri, Rocio Diaz Martin et al.
Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains
Matthew Dowling, Yuan Zhao, Il Memming Park
Linkless Link Prediction via Relational Distillation
Zhichun Guo, William Shiao, Shichang Zhang et al.
LinSATNet: The Positive Linear Satisfiability Neural Networks
Runzhong Wang, Yunhao Zhang, Ziao Guo et al.
LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control
Xujie Song, Jingliang Duan, Wenxuan Wang et al.
Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy
Xiyao Wang, Wichayaporn Wongkamjan, Ruonan Jia et al.
LIV: Language-Image Representations and Rewards for Robotic Control
Yecheng Jason Ma, Vikash Kumar, Amy Zhang et al.
Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed!
Avik Pal, Alan Edelman, Christopher Vincent Rackauckas
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning
Yulai Zhao, Zhuoran Yang, Zhaoran Wang et al.
Local Vertex Colouring Graph Neural Networks
Shouheng Li, Dongwoo Kim, Qing Wang
LongCoder: A Long-Range Pre-trained Language Model for Code Completion
Daya Guo, Canwen Xu, Nan Duan et al.